| Scalable data management using user-based caching and prefetching in distributed virtual environments |
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Virtual Reality Software and Technology
archive
Proceedings of the ACM symposium on Virtual reality software and technology
table of contents
Baniff, Alberta, Canada
Session: Distributed Virtual Environments
table of contents
Pages: 121 - 126
Year of Publication: 2001
ISBN:1-58113-427-4
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Authors
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Sungju Park
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Information and Communications University, Taejon, Korea
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Dongman Lee
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Information and Communications University, Taejon, Korea
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Mingyu Lim
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Information and Communications University, Taejon, Korea
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Chansu Yu
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Information and Communications University, Taejon, Korea
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Downloads (6 Weeks): 1, Downloads (12 Months): 16, Citation Count: 4
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ABSTRACT
For supporting real-time interaction in distributed virtual environments (DVEs), it is common to replicate virtual world data at clients from the server. For efficient replication, two schemes are used together in general - prioritized transfer of objects and a caching and prefetching technique. Existing caching and prefetching approaches for DVEs exploit spatial relationship based on distances between a user and objects. However, spatial relationship fails to determine which types of objects are more important to an individual user, not reflecting user's interests. We propose a scalable data management scheme using user-based caching and prefetching exploiting the object's access priority generated from spatial distance and individual user's interest in objects in DVEs. We also further improve the cache hit rate by incorporating user's navigation behavior into the spatial relationship between a user and the objects in the cache. By combining the interest score and popularity score of an object with the spatial relationship, we improve the performance of caching and prefetching since the interaction locality between the user and objects are reflected in addition to spatial locality. The simulation results show that the proposed scheme outperforms the hit rate of existing caching and prefetching by 10% on average when the cache size is set to basic cache size, the size of expected number of objects included in the user's viewing range.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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[doi> 10.1145/293701.293705]
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CITED BY 4
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Mobin Uddin Ahmed , Raja Asad Zaheer , M. Abdul Qadir, Intelligent cache management for data grid, Proceedings of the 2005 Australasian workshop on Grid computing and e-research, p.5-12, January 01, 2005, Newcastle, New South Wales, Australia
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Huiguang Liang , Ransi Nilaksha Silva , Wei Tsang Ooi , Mehul Motani, Avatar mobility in user-created networked virtual worlds: measurements, analysis, and implications, Multimedia Tools and Applications, v.45 n.1-3, p.163-190, October 2009
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INDEX TERMS
Primary Classification:
H.
Information Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.1
Multimedia Information Systems
Subjects:
Artificial, augmented, and virtual realities
Additional Classification:
C.
Computer Systems Organization
C.2
COMPUTER-COMMUNICATION NETWORKS
C.2.5
Local and Wide-Area Networks
Subjects:
Internet (e.g., TCP/IP)
I.
Computing Methodologies
I.3
COMPUTER GRAPHICS
I.3.2
Graphics Systems
Subjects:
Distributed/network graphics
I.3.6
Methodology and Techniques
Subjects:
Interaction techniques
I.3.7
Three-Dimensional Graphics and Realism
Subjects:
Virtual reality
General Terms:
Design,
Experimentation,
Human Factors,
Measurement,
Performance
Keywords:
DVEs,
caching and prefetching,
distributed virtual environments,
scalable data management,
user interest
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